Job Description

Senior Data Engineer – 100% Remote- US Citizen ONLY

Position Overview

We are seeking an experienced Senior Data Engineer to join our client's enterprise data engineering team. This is a fully remote, contract-to-hire opportunity for a highly skilled professional with a strong background in data engineering, ETL development, SQL, data warehousing, and cloud-based data solutions.

The Senior Data Engineer will play a key role in designing, developing, and optimizing scalable data infrastructure and pipelines that support enterprise analytics, business intelligence, and critical business operations.

The ideal candidate is a technically strong, solution-oriented engineer who thrives in a collaborative environment, takes ownership of complex data initiatives, and brings experience building reliable, high-performance data solutions.

This position offers the opportunity to work with modern data technologies, contribute to enterprise-level data initiatives, and mentor junior engineers.

Key Responsibilities

Data Engineering & Pipeline Development

• Design, develop, and maintain scalable, reliable data pipelines and ETL/ELT processes.

• Build and optimize data solutions that support efficient movement, transformation, and storage of data across multiple systems.

• Develop and maintain data models, databases, and enterprise data warehouses.

• Ensure data pipelines are efficient, fault-tolerant, maintainable, and optimized for performance.

• Support the complete data development lifecycle, including requirements gathering, design, development, testing, deployment, and ongoing support.

Data Architecture & Cloud Technologies

• Contribute to the design and implementation of scalable data architectures.

• Work with modern cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

• Support enterprise data warehouse solutions, including Snowflake, Amazon Redshift, or Google BigQuery.

• Evaluate technical solutions and recommend improvements to data architecture, scalability, and performance.

• Leverage modern data engineering tools and design patterns to improve system reliability and efficiency.

Data Quality, Governance & Security

• Implement data quality controls to ensure accuracy, consistency, and integrity.

• Support data governance initiatives and compliance with organizational and regulatory requirements.

• Collaborate on data security measures, including access controls, encryption, and data masking.

• Troubleshoot data pipeline issues and implement sustainable solutions.

Collaboration & Technical Leadership

• Partner with IT, analytics, product, and business stakeholders to understand requirements and deliver effective data solutions.

• Translate business requirements and user stories into technical designs and scalable solutions.

• Monitor project progress, communicate technical challenges, and provide status updates.

• Mentor junior and intermediate data engineers, sharing technical knowledge and best practices.

• Support data analysis and reporting initiatives that drive business decision-making.

Required Qualifications

• 5+ years of professional experience in data engineering, ETL development, or data management.

• 5+ years of experience with SQL and relational or NoSQL database technologies such as MySQL, PostgreSQL, or MongoDB.

• 5+ years of experience with data warehousing concepts and platforms such as Snowflake, Redshift, or BigQuery.

• 5+ years of experience designing and implementing scalable, highly available systems using algorithms, data structures, and software design patterns.

• Strong experience designing, developing, and optimizing data pipelines and data transformation processes.

• Solid understanding of database design, data modeling, and data integration principles.

• Experience troubleshooting complex data processing and performance issues.

• Strong analytical, problem-solving, and communication skills.

• Ability to work independently and collaborate effectively with cross-functional teams.

• Bachelor's degree in Computer Science, Information Systems, Data Science, Computer Engineering, or a related field.

Preferred Qualifications

• 7+ years of experience with data pipeline orchestration and workflow management tools such as Apache Airflow, AWS Glue, or Azure Data Factory.

• Experience with cloud platforms, including AWS, Azure, or GCP, and their associated data services.

• Experience designing enterprise data architectures and evaluating technical trade-offs for scalability and long-term performance.

• Previous experience developing data engineering solutions within the healthcare or health insurance industry.

• Strong knowledge of data governance, data quality, data security, and regulatory compliance.

• Experience developing fault-tolerant, efficient, and maintainable production data solutions.

• Experience translating business requirements, prototypes, and user stories into detailed technical designs.

• Demonstrated experience mentoring junior engineers and providing technical guidance.

• Master's degree in Computer Science, Information Systems, Data Science, Computer Engineering, or a related field.

Key Skills & Competencies

• Advanced SQL and database development

• ETL/ELT pipeline development and optimization

• Data modeling and data warehousing

• Snowflake, Redshift, or BigQuery

• AWS, Azure, or Google Cloud Platform

• Apache Airflow, AWS Glue, or Azure Data Factory

• Data architecture and scalable system design

• Data governance, quality, and security

• Performance optimization and troubleshooting

• Strong analytical and problem-solving abilities

• Cross-functional collaboration and stakeholder communication

• Technical mentorship and leadership

Why Consider This Opportunity?

• 100% Remote: Work from anywhere in the United States.

• Contract-to-Hire: Opportunity to transition into a permanent position.

• Competitive Conversion Salary: $100,000–$134,000 annually.

• Modern Technology Stack: Work with enterprise cloud data platforms and modern data engineering technologies.

• Enterprise-Level Projects: Contribute to complex data infrastructure and analytics initiatives.

• Career Growth: Opportunities to provide technical leadership, mentor engineers, and influence data architecture decisions.

Additional Position Details

• Job Title: Senior Data Engineer

• Employment Type: Contract-to-Hire

• Initial Contract: 6 months

• Anticipated Start Date: November 15, 2026

• Location: Fully Remote

• Work Authorization: U.S. Citizenship Required

• Assessment: Candidates must complete a technical assessment as part of the interview process.

Apply Today!

If you are an experienced Senior Data Engineer with strong SQL, ETL, data warehousing, and cloud data engineering expertise, we encourage you to apply.

Join a collaborative technology team where you can build scalable enterprise data solutions, contribute to meaningful data initiatives, and help shape the future of modern data engineering.